code: def upsampling(data, num_filter, name):
      # ret = mx.symbol.Deconvolution(data=data, num_filter=num_filter, kernel=(4,4),  stride=(2, 2), pad=(1,1),
      #    num_group = num_filter, no_bias = True, attr={'__lr_mult__': '0.0', '__wd_mult__': '0.0'},
      #    name=name)
      # ret = mx.symbol.Deconvolution(data=data, num_filter=num_filter, kernel=(2,2),  stride=(2, 2), pad=(0,0),
      #    num_group = num_filter, no_bias = True, attr={'__lr_mult__': '0.0', '__wd_mult__': '0.0'},
      #    name=name)
      ret = mx.symbol.UpSampling(
          data,
          scale=2,
          sample_type="nearest",
          workspace=512,
          name=name,
          num_args=1,
      )
      return ret
  
file_path: insightface/detection/retinaface/rcnn/symbol/symbol_common.py
imports: import mxnet
  import mxnet.ndarray
  import numpy
  from rcnn.config import config
  from rcnn.PY_OP import rpn_fpn_ohem3, cascade_refine
label_desc: Use image node_id 9 for calling a global function with example usage: upsampling(data, num_filter, name) and returns: ret